Radar forward modeling and intelligent identification of shallow subgrade defects

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Transportation Geotechnics Pub Date : 2024-10-15 DOI:10.1016/j.trgeo.2024.101385

Li Xin , Chen Han-qing , Liu Chen-yang , Su Dong , Chen Xiang-sheng , He Bo-hu , Shen Xiang

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引用次数: 0

Abstract

Geological radar is the primary nondestructive testing method for evaluating shallow subgrade defects. However, the radar atlas contains a large amount of information, and the efficiency of manual data interpretation and processing is low. In this study, the characteristics of radar maps of different defects were analyzed via forward simulation using finite-difference time-domain technology. The instantaneous characteristic information of different defect maps was integrated using map post-processing technology to improve recognition and translation accuracy. Finally, the convolution neural network algorithm was used to conduct data recognition to achieve the intelligent recognition of subgrade defects with an average detection accuracy of 73.93 % based on the radar subgrade defect atlas dataset, and the results were practically verified. The results show that the developed approach can accurately distinguish subgrade shallow defect information in the radar atlas. This approach is useful for accurate and efficient identification of latent highway defects.

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浅层路基缺陷的雷达前向建模和智能识别

地质雷达是评估浅层路基缺陷的主要无损检测方法。然而，雷达图集包含大量信息，人工解释和处理数据的效率较低。本研究采用有限差分时域技术，通过正演模拟分析了不同缺陷的雷达图特征。利用地图后处理技术整合了不同缺陷地图的瞬时特征信息，以提高识别和翻译精度。最后，利用卷积神经网络算法进行数据识别，实现了基于雷达路基缺陷图集的路基缺陷智能识别，平均检测精度达到 73.93%，并对结果进行了实际验证。结果表明，所开发的方法能准确分辨雷达图集中的路基浅层缺陷信息。该方法可用于准确、高效地识别潜在的公路缺陷。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Geotechnics Social Sciences-Transportation

CiteScore

8.10

自引率

11.30%

发文量

194

审稿时长

51 days

期刊介绍： Transportation Geotechnics is a journal dedicated to publishing high-quality, theoretical, and applied papers that cover all facets of geotechnics for transportation infrastructure such as roads, highways, railways, underground railways, airfields, and waterways. The journal places a special emphasis on case studies that present original work relevant to the sustainable construction of transportation infrastructure. The scope of topics it addresses includes the geotechnical properties of geomaterials for sustainable and rational design and construction, the behavior of compacted and stabilized geomaterials, the use of geosynthetics and reinforcement in constructed layers and interlayers, ground improvement and slope stability for transportation infrastructures, compaction technology and management, maintenance technology, the impact of climate, embankments for highways and high-speed trains, transition zones, dredging, underwater geotechnics for infrastructure purposes, and the modeling of multi-layered structures and supporting ground under dynamic and repeated loads.